Lattice Functions for Visualizing Resampling Differences

Lattice functions for visualizing resampling result differences between models

# S3 method for diff.resamples
dotplot(x, data = NULL, metric = x$metric[1],
  ...)

Arguments

x	an object generated by diff.resamples
data	Not used
metric	a character string for which metrics to plot. Note: dotplot and levelplot require exactly two models whereas the other methods can plot more than two.
...	further arguments to pass to either densityplot, dotplot or levelplot

Value

a lattice object

Details

densityplot and bwplot display univariate visualizations of the resampling distributions. levelplot displays the matrix of pair-wide comparisons. dotplot shows the differences along with their associated confidence intervals.

See also

resamples, diff.resamples, bwplot, densityplot, xyplot, splom

Examples

if (FALSE) {
#load(url("http://topepo.github.io/caret/exampleModels.RData"))

resamps <- resamples(list(CART = rpartFit,
                          CondInfTree = ctreeFit,
                          MARS = earthFit))
difs <- diff(resamps)

dotplot(difs)

densityplot(difs,
            metric = "RMSE",
            auto.key = TRUE,
            pch = "|")

bwplot(difs,
       metric = "RMSE")

levelplot(difs, what = "differences")

}